skip to content

 

 

20th May 2021
12:40 to 12:45 Zoom Room Opens
Session 1:   (Chair: Carola-Bibiane Schönlieb (Cantab Capital Institute for the Mathematics of Information))
12:45 to 13:00 Introduction Carola-Bibiane Schönlieb (University of Cambridge), (Cambridge Mathematics of Information in Healthcare)
Silvia Stanescu (GAM Investments)
13:00 to 13:30 AI Can’t Fix This: Happenstance Data, Modelling, and the Covid19 Pandemic Neil Lawrence (University of Cambridge)
13:30 to 14:00 Bayesian Machine Learning and Forecasting of the COVID-19 Pandemic Based on Stochastic Compartment Models Ronojoy Adhikari (University of Cambridge)
14:00 to 14:15 Break
Session 2:    (Chair: Hamza Fawzi (Cantab Capital Institute for the Mathematics of Information))
14:15 to 14:25 Elevator Pitch Andela Sarkovic (University of Cambridge)
14:25 to 14:35 Elevator Pitch - Time Series, Causality Indices and Covid-19 Tom Edinburgh (Cantab Capital Institute for the Mathematics of Information)
14:35 to 14:45 Elevator Pitch - Seagulls - Stop (the Covid) Now Torben Sell (Cantab Capital Institute for the Mathematics of Information), (University of Edinburgh)
14:45 to 14:55 Elevator Pitch Jan Stanczuk (University of Cambridge)
14:55 to 15:05 Elevator Pitch - Incorporation Bias in Medical Machine Learning Models Derek Driggs (Cantab Capital Institute for the Mathematics of Information)
15:05 to 15:30 Poster Presentations and Discussion
15:30 to 15:45 Break
Session 3:     (Chair: Silvia Stanescu (GAM Investments)
15:45 to 16:15 Lessons from the Pandemic for Machine Learning and Medical Imaging Michael Roberts (University of Cambridge)
16:15 to 16:45 Modelling to Inform the UK COVID-19 Pandemic Response: from Academia to Policy Louise Dyson (University of Warwick)
16:45 to 17:00 Poster Prize and Final Remarks Carola-Bibiane Schönlieb (University of Cambridge), (Cambridge Mathematics of Information in Healthcare)